87 search results - page 3 / 18 » Efficient elastic burst detection in data streams |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
INFORMATICALT
2008
13 years 5 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...